Power Cable Defects Location Based on Improved Time-frequency Domain Reflectometry

被引:0
|
作者
Wang, Yuhao [1 ]
Zhou, Kai [1 ]
Wang, Xianjin [2 ]
Rao, Xianjie [1 ]
Li, Rong [1 ]
Liang, Zhongying [1 ]
Gong, Wei [1 ]
机构
[1] School of Electrical Engineering, Sichuan University, Chengdu,610065, China
[2] Wanzhou Power Supply Branch, State Grid Chongqing Electric Power Company, Wanzhou District, Chongqing,404100, China
基金
中国国家自然科学基金;
关键词
Polyethylenes - Chirp modulation - Frequency domain analysis - Defects - Location - Reflectometers - Cables - Reflection;
D O I
10.13334/j.0258-8013.pcsee.202020
中图分类号
学科分类号
摘要
Power cables have been widely used in urban power distribution systems, and cable defects location has become a problem of concern to many scholars. For the traditional time-frequency domain reflectometry (TFDR) there are cross-term interference and other issues. This paper proposed an improved time-frequency domain reflectometry. The method selected a specific linear frequency modulation (LFM) reference signal and obtained a Wigner-Ville distribution (WVD) of the reflected signal to analyze the time-frequency characteristics. However, there was cross-item interference in the WVD, so a new cross-item suppression method was proposed in this paper. By analyzing the characteristic differences between the self-item and cross-item of the signal time-frequency distribution, the cross-item interference was eliminated without affecting the signal resolution by affine transformation (AT) and other signal processing methods, and the defects location were precisely determined by the time-frequency cross-correlation function of the signal. In this paper, the 10kV cross-linked polyethylene (XLPE) cable was simulated and analyzed, and the 105m XLPE cable with defects and the 500m XLPE cable with joints were experimented. The simulation and experimental results show that the proposed method is more accurate than the conventional method and has better robustness. © 2021 Chin. Soc. for Elec. Eng.
引用
收藏
页码:2584 / 2593
相关论文
共 50 条
  • [1] A Novel Time-Frequency-Domain Reflectometry Location Method for Power Cable Defects Based on Synchrosqueezing Transform
    Meng, Pengfei
    Li, Tengfei
    Zhou, Kai
    Tang, Zhirong
    Zhu, Guangya
    Li, Zerui
    Cao, Yating
    Zhang, Hongzhou
    Yin, Yue
    Guo, Jingke
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 73
  • [2] Research on Fault Location of High Temperature Superconducting Cable Based on Time-frequency Domain Reflectometry
    Wang, Yaoyao
    Yao, Zhoufei
    Xie, Wei
    Wu, Jiandong
    Han, Yunwu
    Yin, Yi
    Zhao, Gang
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2021, 41 (05): : 1540 - 1546
  • [3] Application of joint time-frequency domain reflectometry for electric power cable diagnostics
    Wang, J.
    Stone, P. E. C.
    Shin, Y. -J.
    Dougal, R. A.
    [J]. IET SIGNAL PROCESSING, 2010, 4 (04) : 395 - 405
  • [4] Health Monitoring of Power Cable via Joint Time-Frequency Domain Reflectometry
    Wang, Jingjiang
    Stone, Philip E. C.
    Coats, David
    Shin, Yong-June
    Dougal, Roger A.
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2011, 60 (03) : 1047 - 1053
  • [5] Estimation of fault location on a power line using the time-frequency domain reflectometry
    Doo, Seung-Ho
    Kwak, Ki-Seok
    Park, Jin-Bae
    [J]. Transactions of the Korean Institute of Electrical Engineers, 2008, 57 (02): : 268 - 275
  • [6] Localization of concentric neutrals corrosion on live underground power cable based on time-frequency domain reflectometry
    Lee, Chun Ku
    Yoon, Tae Sung
    Park, Jin Bae
    [J]. Transactions of the Korean Institute of Electrical Engineers, 2013, 62 (02): : 239 - 245
  • [7] Accurate localisation of power cable defects based on frequency-domain reflectometry
    Zhang, Guoxin
    Zhang, Wei
    Xu, Zheng
    [J]. INSIGHT, 2019, 61 (09) : 515 - 520
  • [8] Online detection and assessment of cable insulation fault based on time-frequency domain reflectometry
    Yin, Zhendong
    Chen, Hongzhen
    Wang, Li
    [J]. AIP ADVANCES, 2024, 14 (03)
  • [9] Classification of Faults in Multicore Cable via Time-Frequency Domain Reflectometry
    Bang, Su Sik
    Shin, Yong-June
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (05) : 4163 - 4171
  • [10] Fault Location in a Cable for a Nuclear Power Plant by Frequency Domain Reflectometry
    Ohki, Yoshimichi
    Hirai, Naoshi
    [J]. 2016 INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS (CMD), 2016, : 36 - 39